GPS Height Fitting Using Gene Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8178

@InProceedings{Yue:2010:ISICA,

• author = "Xuezhi Yue and Zhijian Wu and Dazhi Jiang and Kangshun Li",
• title = "GPS Height Fitting Using Gene Expression Programming",
• booktitle = "Proceedings 5th International Symposium on Advances in Computation and Intelligence, ISICA 2010",
• year = "2010",
• editor = "Zhihua Cai and Chengyu Hu and Zhuo Kang and Yong Liu",
• volume = "6382",
• series = "Lecture Notes in Computer Science",
• pages = "25--32",
• address = "Wuhan, China",
• month = oct # " 22-24",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, gene expression programming, GPS height fitting, conicoid function fitting, polyhedral function fitting",
• isbn13 = "978-3-642-16492-7",
• DOI = "doi:10.1007/978-3-642-16493-4_3",
• size = "8 pages",
• abstract = "In Global Position System (GPS) height fitting methods, the traditional mathematical model fittings are more stable and general, but the fitting accuracy is usually not intended because of the error of model itself. Gene Expression Programming (GEP) as a kind of newly invented Genotype/phenotype based genetic algorithm can conquer the problem effectively. A GPS height fitting method based on GEP is given in this paper. By experiments and making the analysis and comparison with conicoid function and polyhedral function fitting methods, the results indicate that the GPS height fitting method based on GEP is effective and has better accuracy than traditional mathematical model methods to some extent.",
• affiliation = "State Key Laboratory of Software Engineering, Wuhan University, Wuhan, 430072",

}

Genetic Programming entries for Xuezhi Yue Zhijian Wu Dazhi Jiang Kangshun Li

Citations